Clinical trials: Computer-aided System
Carotid Atherosclerosis, Peripheral Arterial Disease
Non-invasive Computer-Aided Phenotyping of Vasculopathy
The investigators use MRI and/or CT to evaluate the extent, as well as, the structure, composition, and functional aspects of atherosclerotic plaques in human carotid and femoral arteries in patients scheduled to undergo an…
- Trial name
- Q-CAMP (NCT02143102)
- Where
- 2 sites in United States
- Volunteers
- 125 people
- Sponsor
- Elucid Bioimaging Inc.
Breast Cancer
Case Collection Study for Collecting Images for the Development and Validation of Computer Aided Detection Software
The study objective is to assess the performance of the MammoDetector Pro to correctly mark biopsy-proven breast cancers imaged on the Siemens Mammomat Novation FFDM system compared to conventional film-screen mammography.
- Trial name
- NCT00756834
- Testing
- Screening
- Where
- United States
- Volunteers
- 135 people, healthy volunteers welcome
- Sponsor
- Siemens Medical Solutions
Glioma, Primary Brain Tumor
MRI-based Computer Aided Diagnosis Software (V1) for Glioma
The goal of this multi-center clinical trial is to evaluate the effectiveness of MRI-based computer-aided diagnosis software (V1) for glioma segmentation, gene prediction, and tumor grading.
- Trial name
- NCT05739500
- Where
- China
- Volunteers
- 250 people
- Sponsor
- Mingge LLC
Covid19
Detection of SARS-CoV-2 in Nasopharyngeal Swabs by Using Multi-Spectral Screening System
The aim of this research is to use the Multi-Spectral method to measure the biomolecular fingerprint of the virus directly instead of the virus's RNA (RT-PCR) or the body's immune response (antibody) measurement methods to…
- Trial name
- NCT04860895
- Testing
- AP-23
- Where
- Turkey (Türkiye)
- Volunteers
- 4,400 people, healthy volunteers welcome
- Sponsor
- Fable Biyoteknoloji San ve Tic A.S
Colorectal Cancer
Safety and Efficacy of the Olympus CADe System in Real-time Colonoscopy
This is a prospective, multicenter, randomized Trial to assess the safety and efficacy of the Olympus Endoscopy Computer-Aided Detection (CADe) system, OIP-1, in the detection of colorectal neoplasia's during real-time…
- Trial name
- EuroCADe (NCT05943288)
- Testing
- OIP-1
- Where
- 6 sites in Belgium, Germany and 2 more
- Volunteers
- 850 people
- Sponsor
- Olympus Europe SE & Co. KG
Colo-rectal Cancer, Polyp of Colon
Computer Aided Detection of Polyps During Colonoscopy Procedures
The focus of the study is to evaluate impact on Adenomas Per Colonoscopy (APC) with a Computer Aided Detection (CAD) software assisting the gastroenterologist during a colonoscopy procedure.
- Conditions
- Colo-rectal Cancer, Polyp of Colon, Adenomatous Polyps
- Trial name
- NCT04195646
- Testing
- EndoVigilant CAD Software
- Where
- 2 sites in United States
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- EndoVigilant Inc
Colorectal Neoplasms, Colonic Polyps
Clinical Validity Verification on Diagnostic Assistance for Presence and Severity of Colorectal Cancer and Polyps Using Artificial Intelligence-based Medical Device Software Endoscopic Imaging Assistance
This completed retrospective study evaluated the clinical performance of ENAD-CADx-01, an artificial intelligence-based medical device software intended to assist healthcare professionals in characterizing colorectal lesions in…
- Conditions
- Colorectal Neoplasms, Colonic Polyps, Hyperplastic Polyps, Sessile Serrated Lesions
- Trial name
- NCT07744607
- Where
- South Korea
- Volunteers
- 1,114 people
- Sponsor
- Ainex Corporation
Diabetic Retinopathy, Diabetic Macular Edema
OphtAI Diagnostic Performance Validation for Automated Screening of Eye Diseases
Evolucare OphtAI is a medical device offering automated, artificial intelligence powered, screening capabilities for Diabetic Retinopathy, Diabetic Macular Edema, Glaucoma, ARM and AMD, whose performances will by tested through…
- Conditions
- Diabetic Retinopathy, Diabetic Macular Edema, Age-Related Macular Degeneration, Age-related Maculopathy
- Trial name
- OPHTAI-EVAL (NCT05752045)
- Testing
- Eye Fundus Double Capture for Eye Diseases Screening with OphtAI Medical Device
- Where
- 12 sites in France
- Volunteers
- 1,389 people
- Sponsor
- Evolucare Technologies
Diabetic Retinopathy, Retinal Vein Occlusion
Computer Aided Diagnosis of Multiple Eye Fundus Diseases From Color Fundus Photograph
Blindness can be caused by many ocular diseases, such as diabetic retinopathy, retinal vein occlusion, age-related macular degeneration, pathologic myopia and glaucoma.
- Conditions
- Diabetic Retinopathy, Retinal Vein Occlusion, Retinal Artery Occlusion, Central Serous Chorioretinopathy
- Trial name
- NCT04723160
- Testing
- Software assisted imaging diagnosis
- Where
- 5 sites in China
- Volunteers
- 748 people, healthy volunteers welcome
- Sponsor
- Visionary Intelligence Ltd.
Screening Colonoscopy, Surveillance Colonoscopy
Study to Evaluate the Diagnostic Performance of of MAGENTIQ-COLO During Colonoscopy.
This is an international, multicenter, study to evaluate the diagnostic performance of the CADx polyp sizing modality of the MAGENTIQ-COLO.
- Trial name
- NCT06568523
- Testing
- MAGENTIQ-COLO.
- Where
- 5 sites in United States, Israel and 1 more
- Volunteers
- 330 people, healthy volunteers welcome
- Sponsor
- Magentiq Eye LTD
Colonic Polyp
A Clinical Study on Endoscopic and Histopathological Outcomes of Screening and Surveillance Colonoscopies
The objective of this study is to collect colonoscopy data for use in the development and testing of artificial intelligence (AI) devices for colonoscopies.
- Trial name
- CODACO (NCT05869838)
- Testing
- Colonoscopy
- Where
- 2 sites in Germany, Spain
- Volunteers
- 600 people
- Sponsor
- Olympus Europe SE & Co. KG
Alzheimer Disease, Mild Cognitive Impairment
Evaluating the Efficacy of Artificial Intelligence-based Computer Aided Diagnosis Software That Assists in Determining Whether or Not to Conduct Amyloid PET for the Diagnosis of Alzheimer's Disease by Predicting Amyloid PET Positivity in Mild Cognitive Impairment Patients
Purpose of clinical trial; This clinical trial is designed to evaluate the effectiveness of 'NeuroAI' prediction accuracy compared to the amyloid PET test results by retrospectively collecting medical data of patients with mild…
- Trial name
- NCT05383053
- Testing
- NeuroAI
- Where
- South Korea
- Volunteers
- 227 people
- Sponsor
- Neurozen Inc.
Colorectal Cancer, Adenoma Colon
Real-time Computer-Aided Detection of Colonic Adenomas With NEC WISE VISION® Endoscopy
This is a prospective, multicenter, randomized study to evaluate the clinical performance of a novel CADe device, WISE VISION® Endoscopy System, in patients undergoing high-definition white light (HDWL) colonoscopy for screening…
- Conditions
- Colorectal Cancer, Adenoma Colon, Polyp of Colon
- Trial name
- COLOWISE (NCT05611151)
- Testing
- Computer Aided Detection (CADe)
- Where
- 5 sites in United States, Germany and 2 more
- Volunteers
- 830 people
- Sponsor
- NEC Corporation
Breast Cancer, Benign Breast Condition
ATUSA Ultrasound Diagnostic Imaging for Breast Lesions Evaluation (AUDIBLE) - iSono Health
AUDIBLE is a multi-site, clinical study conducted in the United States aimed at gathering data on 3D Automated Breast Ultrasound imaging using the iSono Health ATUSA system.
- Conditions
- Breast Cancer, Benign Breast Condition, Breast Fibroadenoma, Breast Neoplasms
- Trial name
- AUDIBLE (NCT07505797)
- Testing
- ATUSA 3D Automated Breast Ultrasound System
- Where
- 2 sites in United States
- Volunteers
- 800 people
- Sponsor
- iSono Health, Inc.
Breast Cancer
Xpress Digital Mammography System Images for Computer Aided Detection Development
The primary objective of this study is to acquire digital mammography images produced by the Xpress Digital Mammography System in order to develop Computer Aided Detection software and systems.
- Trial name
- NCT01061138
- Where
- 5 sites in United States
- Volunteers
- 597 people, healthy volunteers welcome
- Sponsor
- Konica Minolta Medical Imaging, USA
Colorectal Polyp
Computer Aided Detection of Polyps in Colonoscopy
The aim of this study is to evaluate the clinical benefit and safety of using a computer aided detection device, Skout, for real-time polyp detection in colonoscopy procedures with the indication of screening or surveillance.
- Trial name
- NCT04754347
- Testing
- Computer Aided Detection device
- Where
- 5 sites in United States
- Volunteers
- 1,472 people
- Sponsor
- Iterative Scopes, Inc
Skin Diseases, Skin Condition
Clinical Validation of AI-Based System for Continuous Remote Monitoring of Patient Severity - Experts' Opinion
The goal of this observational study is to learn if an artificial intelligence (AI) tool, called Legit Health Plus, can track the severity of chronic skin conditions from a distance.
- Trial name
- COVIDX_EVCDAO (NCT06237036)
- Where
- Spain
- Volunteers
- 160 people
- Sponsor
- AI Labs Group S.L
Colon Polyp, Colon Neoplasm
A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures
EndoVigilant software device augments existing colonoscopy procedure video in real-time by highlighting colon polyps and mucosal abnormalities.
- Conditions
- Colon Polyp, Colon Neoplasm, Colon Adenoma
- Trial name
- ColonCADe (NCT04555135)
- Testing
- EndoVigilant Software
- Where
- 4 sites in United States
- Volunteers
- 769 people
- Sponsor
- EndoVigilant Inc
Early Gastric Cancer
A Clinical Trial to Evaluate the Sensitivity and Specificity of "WAYMED Endo" Compared to the Endoscopists in Classifying Early Gastric Cancer (EGC) Based on the Depth of Invasion in Endoscopic Images
The purpose of this clinical trial is to prove that the prediction capability of 'WAYMED endo' is superior to that of the endoscopists in classifying EGC based on the depth of invasion categories in gastro-endoscopic images.
- Trial name
- NCT06317103
- Testing
- WADYMED endo, Control group (the endoscopists)
- Where
- South Korea
- Volunteers
- 653 people
- Sponsor
- WAYCEN Inc
Asthma
The Comparison of Electronic Auscultation Coupled With CALSA and FRI; Repeatability of FRI Biomarkers
CALSA will be compared with FRI and the repeatability of the FRI parameters will be tested in a group of healthy volunteers and asthma patients.
- Trial name
- NCT02228018
- Testing
- CT-scan
- Where
- Belgium
- Volunteers
- healthy volunteers welcome
- Sponsor
- FLUIDDA nv